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A Smart Grid Technique for Dynamic Load Prediction in Nigerian Power Distribution Network

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Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

Abstract

The current situation of power system in Nigeria is faced with the obvious challenge of circumventing faulty transmission lines and assuring optimum power distribution and utilization. In the context of smart grids, this warrants the need for intelligent solutions powered by digital signal processing engines. In this paper, a recently proposed technique inspired by intelligent processing in mammalian auditory cortex is applied to load forecasting in the Nigerian power distribution network, Port-Harcourt, Diobu Zone. The auditory inspired algorithm is designed in such a way as to intelligently estimate in advance the received energy loading at a particular bus in a power distribution network. Simulations are conducted in the MATLAB environment in order to validate the proposed system.

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Author information

Authors and Affiliations

  1. National Open University of Nigeria, Lagos, Nigeria

    E. Ndidi Osegi

  2. Rivers State University, Port Harcourt, Rivers, Nigeria

    O. Egerton Taylor, B. Alexander Wokoma & A. Ogacheko Idachaba

Authors
  1. E. Ndidi Osegi
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  2. O. Egerton Taylor
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  3. B. Alexander Wokoma
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  4. A. Ogacheko Idachaba
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

  4. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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Osegi, E.N., Taylor, O.E., Wokoma, B.A., Idachaba, A.O. (2020). A Smart Grid Technique for Dynamic Load Prediction in Nigerian Power Distribution Network. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_38

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